experimental-design

Pass

Audited by Gen Agent Trust Hub on Jun 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate utility for scientific study design. Detailed analysis of the provided Python scripts (randomization.py, doe_designs.py) and documentation reveals no malicious code, unauthorized file access, or network exfiltration.
  • [EXTERNAL_DOWNLOADS]: The skill installs well-known scientific libraries including numpy, pandas, and pyDOE3 from official package registries. These dependencies are appropriate for the skill's stated purpose of statistical design and data manipulation.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 15, 2026, 12:01 AM
Security Audit — agent-trust-hub — experimental-design